
System Fault Diagnosis Method Based on OSDG Model
Author(s) -
Wei Cong,
Yu Hongkun,
Liu Jing
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1575/1/012206
Subject(s) - troubleshooting , fault (geology) , computer science , fault coverage , fault model , complex system , set (abstract data type) , graph , data mining , bridge (graph theory) , reliability engineering , engineering , artificial intelligence , theoretical computer science , medicine , electronic circuit , electrical engineering , seismology , programming language , geology
For the difficulties of cross-link fault diagnosis in complex systems, a fault diagnosis method based on optimised signed directed graph model is proposed. First, the system structure is layered and the control bridge is used to implement a top-down hierarchical structure. The SDG is used to describe the hierarchical structure of the system, and the SDG model is also layered so the fault information is propagated unidirectionally according to the layer. The reverse search strategy based on the fault propagation matrix is used to judge the compatible path, obtain the set of candidate fault sources, use the use availability to objectively evaluate the impact of multiple fault sources to improve the efficiency of troubleshooting. The example analysis shows that the method in this paper can adapt to the fault diagnosis needs of complex systems, and has practical application value for shortening the time of system fault determination and improving the accuracy of troubleshooting.